Getting started with R is simple - at least when you are already familiar with any other sort of programming language. In this short tutorial, you will see a few examples of how working with R can be fun.

The International Journal of Technology-Enhanced Learning has been running a series of dedicated special issues to facilitate publishing of work of PhD candidates. Here we inspect the network generated around three (of four) special issues, each of which with its own character in composition and organisation.

You can generate living reports easily: just open a textfile in your studio and write some text and markdown chunks into it. Markdown chunks are basically R code in the text, framed by three apostrophees.

Documentation

Analytics Workspace

Click here to find out, how to obtain an account for our hosted RStudio, the fully-fledging, browser-based data analysis work space environment — with which you can kick off exploratory scripting for analysing big data.

Pipelining

We are discussing currently, how we could support simple chaining and pipelining of services, so that the output of one script can serve as input for another. Wouldn't that be sweet? Click here to join the discussion...

Service Publishing

Scheduling

Some scripts take way too long to wait for them finishing. Crunch can do cron jobs. We are currently discussing what advanced job scheduling solution we would like to offer. Click here to join the discussion...